Probability distribution function question

AI Thread Summary
The discussion centers on the properties of the cumulative distribution function (CDF) F(x) for a continuous random variable X defined in specific intervals. The user questions why F(x) equals 1 for x greater than 1, expressing confusion about how to calculate probabilities like P(X > 0.75) when F(x) is constant at 1 for x > 1. They clarify that F(x) is indeed the cumulative distribution function, despite the terminology used by their teacher and textbook. The conversation highlights the importance of understanding the behavior of CDFs in probability theory. Overall, the user resolves their confusion about the notation and its implications for probability calculations.
atrus_ovis
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Homework Statement


A PC generates "random" numbers from [0,1], programmed such that
the distribution function F(x) of a continuous random variable X, which is satisfies the formula:

F(x) =
0 , x<0
x , 0<=x<0.25
0.25 , 0.25<=x<0.5
x2, 0.5<=x<1
1 , 1<=x

THe problem then asks the values of probabilities in ranges of X.

Homework Equations


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The Attempt at a Solution


My question is, why is F(x) , x>1 = 1?
Isn't that, you know, non sensical?

And, how, for example will i measure the P(x>.75), when F(x)=1 for x>1 ?
(edit: or is big F of x, a standard notation for the cumulative distr. function?)
 
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Ah, never mind.
It is the cumulative distribution function, both my teacher and textbook had the great idea of calling it "ditribution function"
Dammit.

delete if you want
 
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